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jack-willturner avatar

jack-willturner/DeepCompression-PyTorch

0
View on GitHub↗
182 stars·38 forks·Jupyter Notebook·MIT·8 views

DeepCompression PyTorch

A PyTorch implementation of this paper.

Features

  • Weight Pruning - Learning weights and connections for efficient neural networks.

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Open-source alternatives to DeepCompression PyTorch

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  • tencent/pocketflowTencent avatar

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    PocketFlow is an integrated toolkit for deep learning model compression, distributed training, and mobile format optimization. It provides a system for reducing the size and complexity of neural networks to improve inference efficiency, featuring a dedicated engine for knowledge distillation and a mobile model optimizer. The framework differentiates itself through an automated hyperparameter tuning system that uses reinforcement learning and statistical models to determine optimal compression ratios and layer-wise bit allocation. It also includes a distributed training system that utilizes mu

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  • chrundle/bipropchrundle avatar

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    This method identifies a binary weight or binary weight and activation subnetwork within a randomly initialized network that achieves performance comparable to, and sometimes better than, a weight-optimized network. The resulting binarized and pruned networks that achieve comparable performance…

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  • dchiji-ntt/iteranddchiji-ntt avatar

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See all 30 alternatives to DeepCompression PyTorch→

Frequently asked questions

What does jack-willturner/deepcompression-pytorch do?

A PyTorch implementation of this paper.

What are the main features of jack-willturner/deepcompression-pytorch?

The main features of jack-willturner/deepcompression-pytorch are: Weight Pruning.

What are some open-source alternatives to jack-willturner/deepcompression-pytorch?

Open-source alternatives to jack-willturner/deepcompression-pytorch include: tencent/pocketflow — PocketFlow is an integrated toolkit for deep learning model compression, distributed training, and mobile format… chrundle/biprop — This method identifies a binary weight or binary weight and activation subnetwork within a randomly initialized… dchiji-ntt/iterand — by Daiki Chijiwa\*, Shin’ya Yamaguchi, Yasutoshi Ida, Kenji Umakoshi, Tomohiro Inoue. dem123456789/pruning-deep-neural-networks-from-a-sparsity-perspective — [ICLR 2023] Pruning Deep Neural Networks from a Sparsity Perspective. densoitlab/bitprune — This is the official repo for ICLR 2023 Paper "Bit-Pruning: A Sparse Multiplication-Less Dot-Product" Yusuke Sekikawa… boone891214/sanity-check-lth — Sample code use for NeurIPS 2021 paper: Sanity Checks for Lottery Tickets: Does Your Winning Ticket Really Win the…